Google Cloud SQL vs Oracle Java DB comparison

Google and Oracle are both solutions in the Relational Databases Tools category. Additionally, 100% of Google users are willing to recommend the solution, compared to 71% of Oracle users who would recommend it.

Google Cloud SQL

Read 23 Google Cloud SQL reviews

100% willing to recommend

Oracle Java DB

Read 9 Oracle Java DB reviews

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576 Comparison Views

71% willing to recommend

Google Cloud SQL

Oracle Java DB

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Executive Summary

We performed a comparison between Google Cloud SQL and Oracle Java DB based on real PeerSpot user reviews.

Find out what your peers are saying about Microsoft, Oracle, SAP and others in Relational Databases Tools.

To learn more, read our detailed Relational Databases Tools Report (Updated: November 2025).

Buyer's Guide

Relational Databases Tools

November 2025

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Helped 879,310 peers since 2012

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

Google Cloud SQL

Average Rating

8.2

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

Database as a Service (DBaaS) (6th), Database Management Systems (DBMS) (9th)

Oracle Java DB

Average Rating

8.4

Reviews Sentiment

7.3

Number of Reviews

Ranking in other categories

Relational Databases Tools (21st)

Featured Reviews

Prathap Sankar

Analytics Delivery Manager at Tredence Inc.

Gain control and flexibility with customizable tools but has slower performance

I am majorly working in Google Cloud SQL for building my applications Google Cloud SQL provides complete customization options, along with a dashboarding tool and a comprehensive suite of tools that can be used to customize and build any application needed. The deployment model allows for…

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Anil-Sinha

Senior Consultant at a tech vendor with 10,001+ employees

Able to process all the reporting and processing in the database itself

We have been upgrading and moving to new environments. I was involved in the solution's initial setup. Some things in the setup are very smooth sailing. However, some setups become complicated because what they set up doesn't meet your needs. So, some tweaking is necessary in certain instances. Having a good understanding of the tool really helps. Oracle Java DB is easy to deploy if it's a new setup. Migrating from an old environment to a new environment takes time because you need the old functionality. A first-time deployment of the application is easy. We just did a default setup and started using it. When we have to migrate, there is too much baggage behind that application, especially from the security point of view.

Read full review

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"It's SQL. SQL is so easy if you know something about databases. It's easy to learn."

"It is not the cool features that I find valuable, it is the stability of Google Cloud Platform."

"The most valuable features are that it's easy to use, simple, and user-friendly."

"The implementation part of the product was easy."

"Ease of management and the ability to oversee the statistics of your SQL."

"The initial setup is straightforward."

"The product is scalable."

"Google Cloud SQL enhances our AI-driven projects by providing features like query optimization and scalability for efficiently processing large datasets."

More Google Cloud SQL pros

"Able to write queries more efficiently and the management of data has become better and easier."

"It's very clever."

"The valuable features include connecting to the database and retrieving data."

"The solution is stable."

"It has a programming language so anything that we require for Selenium is all available there."

"The database is quite robust in terms of performance from the SQL side."

"There have been no issues in relation to stability. We've never really had do to any recoveries. It is very stable."

"The most valuable feature is automation."

More Oracle Java DB pros

Cons

"I would appreciate more flexibility with specific extensions applicable to engines like PostgreSQL. This would enhance the capabilities of Google Cloud SQL."

"The purging of the data could be better."

"The most vulnerable problem with Google SQL is that while you can customize your access control list, it provides you with a public IP address."

"I am yet to explore a lot of features that are present in this solution. However, it would be good if more documentation is available for this solution. This would help us in preparing for the certification exam and understand it better. Currently, we don't have much documentation. We do the labs for 20 or 25 minutes, but we can't capture and download anything."

"I would like to see better integration with all the different tools on the platform."

"The customer support should be improved."

"It is hard to do logging with the solution."

"Sometimes the sharing with third parties or configuring that in Google Cloud SQL is not the most intuitive."

More Google Cloud SQL cons

"The solution could be more user-friendly."

"In terms of improvement, I'd like an automation tool that is lower priced. The core prices are very high."

"The solution should continue to keep updating and improving the Java language."

"The biggest lesson that I have learned from using Oracle products is vendor lock-in."

"It'll be better if Oracle Java supports open source technologies, like Node.js."

"Needs improvement in consistency issues with respect to timeframes."

"The tool might be integrated, but we see performance issues because of overhead."

"Oracle can improve by providing more connection string variations and relay servers on the path to the database."

Pricing and Cost Advice

"It's really cheap. It wouldn't be more than, I believe it's around 50 euro per month for running a cloud SQL."

"From a financial perspective, Google Cloud SQL is on the cheaper side."

"While the platform’s pricing may be higher, it aligns with industry standards, considering the quality of service and features provided."

"The pricing is very much an important factor as to why we use this solution."

"You need to pay extra costs for backup and replication."

"It is not expensive, especially considering the significant reduction in database management time."

"The solution is affordable."

"The product's pricing is very friendly, with no extra costs after the licensing fees."

"Oracle Java DB is a pricey solution."

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Top Industries

By visitors reading reviews

Financial Services Firm

14%

Computer Software Company

13%

Educational Organization

University

No data available

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	9
Midsize Enterprise	4
Large Enterprise	9

By reviewers
Company Size	Count
Small Business	4
Midsize Enterprise	2
Large Enterprise	6

Questions from the Community

What do you like most about Google Cloud SQL?

The implementation part of the product was easy.

See all answers

What is your experience regarding pricing and costs for Google Cloud SQL?

We have set up automated patch management for Google Cloud SQL, and it does on a daily basis what needs to be done, so it is pretty good overall for maintaining our database security.

See all answers

What needs improvement with Google Cloud SQL?

Sometimes the sharing with third parties or configuring that in Google Cloud SQL is not the most intuitive. From a user perspective, if Google Cloud SQL integrated AI directly into the query so tha...

See all answers

What needs improvement with Oracle Java DB?

Oracle can improve by providing more connection string variations and relay servers on the path to the database. Various ways of connecting would enhance functionality.

See all answers

What is your primary use case for Oracle Java DB?

I have experience connecting to a database with Java by using Java code and interrogating the database.

See all answers

What advice do you have for others considering Oracle Java DB?

It's important to consider several settings and connection strings, as well as firewall rules when connecting to the database. I would rate the overall solution nine out of ten.

See all answers

Comparisons

Microsoft Azure SQL Database vs Google Cloud SQL

Compared 32% of the time

Amazon RDS vs Google Cloud SQL

Compared 29% of the time

MongoDB Atlas vs Google Cloud SQL

Compared 16% of the time

Oracle Database as a Service vs Google Cloud SQL

Compared 6% of the time

Google Cloud Spanner vs Google Cloud SQL

Compared 5% of the time

More Google Cloud SQL Competitors

MySQL vs Oracle Java DB

Compared 31% of the time

Oracle Database vs Oracle Java DB

Compared 18% of the time

IBM solidDB vs Oracle Java DB

Compared 15% of the time

Apache Derby vs Oracle Java DB

Compared 14% of the time

IBM Db2 Database vs Oracle Java DB

Compared 11% of the time

More Oracle Java DB Competitors

Product Reports

Buyer's Guide

Google Cloud SQL

December 2025

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Buyer's Guide

Relational Databases Tools

November 2025

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Overview

Google Cloud SQL is a fully-managed database service that makes it easy to set up, maintain, manage, and administer your relational PostgreSQL and MySQL databases in the cloud. Google Cloud SQL offers high performance, scalability, and convenience. Hosted on Google Cloud Platform, Cloud SQL provides a database infrastructure for applications running anywhere.

Google

Java DB is a relational database management system (RDBMS). Data is stored and queried via SQL or JDBC. Like other RDBMSs, Java DB can also be accessed through a persistence layer such as JPA, Hibernate, or JDO. Java objects can be stored in the columns of Java DB tables.

Oracle

Sample Customers

BeDataDriven, CodeFutures, Daffodil, GenieConnect, KiSSFLOW, LiveHive, SulAm_rica, Zync

Université Nice Sophia Antipolis

Buyer's Guide

Relational Databases Tools

November 2025

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